首页> 外文会议>Physiology, Function, and Structure from Medical Images pt.2; Progress in Biomedical Optics and Imaging; vol.7,no.29 >A method for myocardial contraction force reconstruction for tissue viability assessment
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A method for myocardial contraction force reconstruction for tissue viability assessment

机译:一种心肌收缩力重建的方法,用于组织生存力评估

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Myocardial infarction results in myocardial necrosis, usually caused by an imbalance in the oxygen supply and demand to myocardial tissue. To our knowledge there is no technique that can provide quantitative direct information concerning the intensity, extent and location of the infarction. Contraction forces generated by cardiac tissues represent a quantitative and direct measure of the myocardial functionality, since it is expected that infarcted tissue generate little or no contraction force. Our objective is to develop a biomechanics based reconstruction technique to image myocardial contraction forces, for the purpose of assessing the viability of cardiac tissues. This technique is designed to reconstruct the contraction forces by inverting myocardial tissue displacement data acquired throughout heart beat cycles using conventional imaging techniques. Recognizing that myocardial contraction force distribution is 3D, we assumed an axisymmetric myocardial geometry to demonstrate the concept. With this assumption, the inversion algorithm was developed and implemented in 2D space. As a preliminary analysis, a simulation involving a 2D representation of myocardial wall tissue was carried out. The tissue was modeled as a homogeneous material with isotropic and linear elastic material properties. Assuming an axisymmetric contraction force distribution, a finite element analysis was performed on the tissue model, and a 2D displacement field was generated. The developed inversion algorithm was then employed to reconstruct the force distribution, which was ultimately compared to the original force field. The reconstruction error, estimated as the difference between the two force fields and normalized by the magnitude of the reference distribution, averaged to ±10%. Results demonstrate that our myocardial contraction force reconstruction algorithm is reasonably accurate and robust.
机译:心肌梗塞导致心肌坏死,通常由对心肌组织的供氧不平衡引起。据我们所知,没有一种技术可以提供有关梗塞的强度,程度和位置的定量直接信息。心脏组织产生的收缩力代表了心肌功能的定量和直接测量,因为预计梗死的组织几乎不会产生收缩力。我们的目标是开发一种基于生物力学的重建技术来对心肌收缩力进行成像,以评估心脏组织的活力。该技术旨在通过使用常规成像技术反转整个心跳周期中获取的心肌组织位移数据来重建收缩力。认识到心肌收缩力分布是3D的,我们假设轴对称的心肌几何形状可以证明这一概念。以此假设为基础,在2D空间中开发并实现了反演算法。作为初步分析,进行了涉及心肌壁组织2D表示的模拟。将组织建模为具有各向同性和线性弹性材料特性的均质材料。假设轴对称收缩力分布,对组织模型进行有限元分析,并生成二维位移场。然后将开发的反演算法用于重建力分布,最终将其与原始力场进行比较。重建误差估计为两个力场之间的差异,并通过参考分布的大小进行归一化,平均误差为±10%。结果表明,我们的心肌收缩力重建算法相当准确且可靠。

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